(Cat? OR feline) AND NOT dog?
Cat? W/5 behavior
(Cat? OR feline) AND traits
Cat AND charact*

This guide provides a more detailed description of the syntax that is supported along with examples.

This search box also supports the look-up of an IP.com Digital Signature (also referred to as Fingerprint); enter the 72-, 48-, or 32-character code to retrieve details of the associated file or submission.

Concept Search - What can I type?

For a concept search, you can enter phrases, sentences, or full paragraphs in English. For example, copy and paste the abstract of a patent application or paragraphs from an article.

Concept search eliminates the need for complex Boolean syntax to inform retrieval. Our Semantic Gist engine uses advanced cognitive semantic analysis to extract the meaning of data. This reduces the chances of missing valuable information, that may result from traditional keyword searching.

Publishing Venue

Related People

Abstract

Prior methods provide mechanisms to schedule a meeting using computer software such as electronic office, e.g., Office Vision*. This requires a meeting notice to be created and distributed prior to scheduling a meeting on users' calendars. Often times exchanging notes is a way of communicating the intention of scheduling a meeting among users. Eventually, users agree on a date and time for a meeting. Next, the meeting information must be extracted from the note by a person, e.g., a secretary, to generate a meeting notice and distribute to the invitee list.

Country

United States

Language

English (United States)

This text was extracted from an ASCII text file.

This is the abbreviated version, containing approximately
52% of the total text.

Text to Meeting Notice Mechanism

Prior methods
provide mechanisms to schedule a meeting using
computer software such as electronic office, e.g., Office Vision*.
This requires a meeting notice to be created and distributed prior to
scheduling a meeting on users' calendars.
Often times exchanging
notes is a way of communicating the intention of scheduling a meeting
among users. Eventually, users agree on
a date and time for a
meeting. Next, the meeting information
must be extracted from the
note by a person, e.g., a secretary, to generate a meeting notice and
distribute to the invitee list.

The mechanism
described in this article provides a method to
automatically generate and distribute meeting notices from users'
notes that contain meeting scheduling information. More
specifically, it provides services to extract meeting information
from electronic notes to construct and distribute meeting notices.
This mechanism consists of several components as follows:

o Parser Service
- parses the words in the context of a note which
contains scheduling information. More specifically, the Parser
searches for specific keywords, e.g.,
date, time, number of
attendees, required equipment, name
of the attendees, duration of
the meeting, and any other other
meeting-related information that
can be extracted from the note.

o Conference Room
Scheduler Service - searches a repository of
conference rooms using the num...